Min Fu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Ophthalmology top 2%
- Ocular Infections and Treatments
Papers in
-
- Retinal Diseases and Treatments 10
- Glaucoma and retinal disorders 3
-
- Single-cell and spatial transcriptomics 2
- Co-authors
- Dongwei Zhang (6 shared papers)Gao S (6 shared papers)Jianzhao Niu (5 shared papers)Rufeng Ma (5 shared papers)Chenyue Liu (3 shared papers)Ruyuan Zhu (3 shared papers)Guoguo Yi (17 shared papers)Xia Li (1 shared paper)
- Journals
- PLoS ONE (2 papers)Ophthalmology and Therapy (2 papers)Journal of Translational Medicine (2 papers)Ophthalmic Research (2 papers)Current Pharmaceutical Design (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Min Fu
60 papers receiving 1.6k citations
Min Fu's Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 268
- Ophthalmology 146
- Complementary and alternative medicine 124
- Pharmacology 125
- Molecular Biology 653
Countries citing papers authored by Min Fu
This map shows the geographic impact of Min Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Min Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Fu more than expected).
Fields of papers citing papers by Min Fu
This network shows the impact of papers produced by Min Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Min Fu. The network helps show where Min Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exosomes-mediated transfer of long noncoding RNA ZFAS1 promotes gastric cancer progression Hit paper breakdown → | 2017 | 271 |
| 2 | 2017 | 243 | |
| 3 | 2016 | 188 | |
| 4 | 2015 | 93 | |
| 5 | 2017 | 91 | |
| 6 | 2015 | 90 | |
| 7 | 2019 | 66 | |
| 8 | 2019 | 61 | |
| 9 | 2013 | 53 | |
| 10 | 2017 | 44 | |
| 11 | 2014 | 27 | |
| 12 | 2023 | 24 | |
| 13 | 2015 | 24 | |
| 14 | 2019 | 20 | |
| 15 | 2017 | 20 | |
| 16 | 2024 | 19 | |
| 17 | 2022 | 18 | |
| 18 | 2018 | 18 | |
| 19 | 2017 | 18 | |
| 20 | 2021 | 17 |
About Min Fu
Min Fu is a scholar working on Ophthalmology, Molecular Biology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (10 papers), Ophthalmology and Visual Impairment Studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Glaucoma and retinal disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers), Adipose Tissue and Metabolism (2 papers) and Acne and Rosacea Treatments and Effects (2 papers). The work is most often cited by research in Cancer Research (268 citations), Ophthalmology (146 citations), Complementary and alternative medicine (124 citations), Pharmacology (125 citations) and Molecular Biology (653 citations). Min Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongwei Zhang, Gao S, Jianzhao Niu, Rufeng Ma, Chenyue Liu, Ruyuan Zhu, Guoguo Yi, Xia Li, Xu Zhang and Beibei Chen. Their work appears in journals such as PLoS ONE, Ophthalmology and Therapy, Journal of Translational Medicine, Ophthalmic Research and Current Pharmaceutical Design.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.